The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. Work-Related and Personal Factors Associated With Mental Well-Being During the COVID-19 Response: Survey of Health Care and Other Workers

    1. Bradley A Evanoff
    2. Jaime R Strickland
    3. Ann Marie Dale
    4. Lisa Hayibor
    5. Emily Page
    6. Jennifer G Duncan
    7. Thomas Kannampallil
    8. Diana L Gray

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Knowledge, Attitudes, and Practices Among the General Population During COVID-19 Outbreak in Iran: A National Cross-Sectional Online Survey

    1. Edris Kakemam
    2. Djavad Ghoddoosi-Nejad
    3. Zahra Chegini
    4. Khalil Momeni
    5. Hamid Salehiniya
    6. Soheil Hassanipour
    7. Hosein Ameri
    8. Morteza Arab-Zozani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Adaptive Time-Dependent Priors and Bayesian Inference to Evaluate SARS-CoV-2 Public Health Measures Validated on 31 Countries

    1. Hugues Turbé
    2. Mina Bjelogrlic
    3. Arnaud Robert
    4. Christophe Gaudet-Blavignac
    5. Jean-Philippe Goldman
    6. Christian Lovis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study

    1. Auriel A. Willette
    2. Sara A. Willette
    3. Qian Wang
    4. Colleen Pappas
    5. Brandon S. Klinedinst
    6. Scott Le
    7. Brittany Larsen
    8. Amy Pollpeter
    9. Tianqi Li
    10. Jonathan P. Mochel
    11. Karin Allenspach
    12. Nicole Brenner
    13. Tim Waterboer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Bayesian investigation of SARS-CoV-2-related mortality in France

    1. Louis Duchemin
    2. Philippe Veber
    3. Bastien Boussau

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evaluation of the number of undiagnosed infected in an outbreak using source of infection measurements

    1. Akiva Bruno Melka
    2. Yoram Louzoun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Modeling the Transmission of Respiratory Infectious Diseases in Mass Transportation Systems

    1. Christian Alvin H. Buhat
    2. Destiny SM. Lutero
    3. Yancee H. Olave
    4. Monica C. Torres
    5. Jomar F. Rabajante

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 and associations with frailty and multimorbidity: a prospective analysis of UK Biobank participants

    1. S. J. Woolford
    2. S. D’Angelo
    3. E. M. Curtis
    4. C. M. Parsons
    5. K. A. Ward
    6. E. M. Dennison
    7. H. P. Patel
    8. C. Cooper
    9. N. C. Harvey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Poorly known aspects of flattening the curve of COVID-19

    1. Alain Debecker
    2. Theodore Modis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Estimating force of infection from serologic surveys with imperfect tests

    1. Neal Alexander
    2. Mabel Carabali
    3. Jacqueline K. Lim

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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